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# Senior Software Engineer - Agentic AI

- **Company:** bettermarks GmbH
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Salary:** €70,000 - €80,000
- **Contract:** Permanent contract
- **Skills:** Automation of Tests, Behavior-Driven Development, Code Review, Continuous Integration, Graph Database, Machine Learning, Enterprise Messaging Systems, Software Engineering, Systems Architecture, Test-Driven Development (TDD), Backend, Agentic-AI, Front End Software Development, Event Sourcing, Human in the Loop
- **Published:** November 10, 2026
- **Apply:** https://www.adzuna.de/details/5959424988

## About the Role

You combine strong software engineering foundations with practical experience applying AI agents to substantial software projects.

 * Demonstrated expertise in agentic coding, with a track record of applying AI agents to large-scale software engineering challenges.
 * Hands-on experience with automating code reviews and enforcing quality standards in human-in-the-loop systems.
 * Deep understanding of agentic workflows, including the ability to build custom tooling and strategies for agent evaluation and testing.
 * A solid understanding of system architecture and the ability to reason technical decisions across a wider system.
 * Strong backend development and database expertise, with a solid understanding of event-sourcing fundamentals.
 * Experience with test-driven development (TDD), behaviour-driven development (BDD), and reliable software delivery with CI/CD.
 * Experience working across the stack, including frontend fundamentals with the ability to break down complex initiatives into individual tasks.
 * Experience in both fast-moving and enterprise environments, with the judgement to adapt your approach.

Nice to have:

 * Knowledge of machine learning, from fundamentals to deeper expertise.
 * Advanced frontend development skills.
 * Deeper expertise in messaging systems.
 * Experience with knowledge graphs and their practical applications.

## Description

* Build agentic content workflows: Develop solutions that support the preparation, generation, and organization of learning content, working closely with content experts to meet educational and quality requirements.
 * Support content workflow management: Improve how content moves through creation, review, publication, and updates, with clear handovers, visible progress, and effective handling of exceptions.
 * Enable scalable content delivery: Build and improve the services and processes that make learning content reliably available in the product, with attention to performance and the experience of teachers and students.
 * Create shared AI tooling: Give teams the tools, context, and integrations they need to use agents effectively in their daily work, and help colleagues adopt useful approaches.
 * Develop agentic delivery pipelines: Explore how agents can support software delivery, connecting agentic coding to CI/CD workflows, automated tests, and appropriate review.
 * Make agent performance visible: Establish review, evaluation, and monitoring practices, and use the results to improve the reliability and quality of agentic workflows over time.